Hello
I am working on a number of price series (daily returns) and need to calculate the 90 day standard deviations and correlation with another price series. I have written this code with a for loop to calculate the standard deviation
window = 90;
T = size(Aseries,1);
condstdAseries = zeros(T-window+1,1);
for t = 1:1:T-window+1;
condstdAseries(t,1) = std(Aseries(t:t+window-1,1));
end
datecondste = ddatenumbers(window:end);
But have not managed to work out a similar solution, guess it should be a matter only to add another line of code to solve it but no success so far.
Any suggestion?

 Réponse acceptée

Andrei Bobrov
Andrei Bobrov le 13 Juil 2017
Modifié(e) : Andrei Bobrov le 13 Juil 2017

0 votes

Use function movstd if you have MATLAB R2016a or later.
rst = movstd(Aseries(:,1),[0 window]);
condstdAseries = rst(1:end - window + 1);

1 commentaire

Salvatore Miserendino
Salvatore Miserendino le 16 Juil 2017
Thank you Andrei. This makes the calculation of the moving standard deviation definately easier but any idea on how to calculate the moving correlation?

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